What is he best known for?
The fields of study he is best known for:
- Database
- Operating system
- Programming language
His primary scientific interests are in SQL, Relational database, Database, Query optimization and Relational database management system.
His research integrates issues of XML Schema, XML Signature and XML, XML database in his study of SQL.
In Relational database, Hamid Pirahesh works on issues like Magic, which are connected to Data definition language, Decorrelation, Parallel database, Database theory and Distributed database.
His studies deal with areas such as Event, Semantics and Cache as well as Database.
Data mining covers Hamid Pirahesh research in Query optimization.
In the subject of general Data mining, his work in Online analytical processing is often linked to Query plan and Klee–Minty cube, thereby combining diverse domains of study.
His most cited work include:
- Data cube: a relational aggregation operator generalizing GROUP-BY, CROSS-TAB, and SUB-TOTALS (2110 citations)
- ARIES: a transaction recovery method supporting fine-granularity locking and partial rollbacks using write-ahead logging (995 citations)
- Extensible/rule based query rewrite optimization in Starburst (344 citations)
What are the main themes of his work throughout his whole career to date?
Database, SQL, Relational database, Query optimization and Relational database management system are his primary areas of study.
His biological study spans a wide range of topics, including Cache, XML validation, XML database and XML Schema Editor.
Hamid Pirahesh combines subjects such as Theoretical computer science and Joins with his study of SQL.
His Relational database research is multidisciplinary, relying on both View, Database schema and Data structure.
His Query optimization research includes themes of Operator and Relational algebra.
His studies in Relational database management system integrate themes in fields like Relational model, Database design, Data integrity and Data management.
He most often published in these fields:
- Database (44.57%)
- SQL (32.61%)
- Relational database (26.09%)
What were the highlights of his more recent work (between 2007-2020)?
- Database (44.57%)
- SQL (32.61%)
- Big data (4.35%)
In recent papers he was focusing on the following fields of study:
His main research concerns Database, SQL, Big data, Analytics and Joins.
His World Wide Web research extends to the thematically linked field of Database.
Hamid Pirahesh works mostly in the field of Big data, limiting it down to concerns involving Data science and, occasionally, Data warehouse, Business intelligence and Data mining.
As part of the same scientific family, he usually focuses on Analytics, concentrating on Jaql and intersecting with Search engine indexing, Data access and Materialized view.
His work deals with themes such as Serialization, Database transaction, Consistency, Commit and Table, which intersect with Joins.
His Distributed database research is multidisciplinary, incorporating perspectives in Parallel database and View.
Between 2007 and 2020, his most popular works were:
- Efficient processing of queries in federated database systems (58 citations)
- Eagle-eyed elephant: split-oriented indexing in Hadoop (34 citations)
- Joining data across a parallel database and a distributed processing system (25 citations)
In his most recent research, the most cited papers focused on:
- Database
- Programming language
- Operating system
His main research concerns Database, Federated database, Query optimization, View and Projection.
His Database research incorporates themes from Object-oriented programming, World Wide Web and Data structure.
His View research is multidisciplinary, incorporating elements of Parallel database, Distributed computing and Distributed database.
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